I have the "Neural Network" Book from Bishop. It is also a good book. It puts
Neural Nets into the proper statistical framework.
Chrilly
- Original Message -
From: George Dahl
To: computer-go
Sent: Monday, July 23, 2007 6:37 PM
Subject: Re: [computer-go] Hint for
I own that book and can also recommend it.
- George
On 7/23/07, Łukasz Lew <[EMAIL PROTECTED]> wrote:
Absolutely the best book I've seen is:
Christopher M. Bishop
"Pattern Recognition and Machine Learning"
It's totally awesome!
Strong points:
- It have both Bayesian and non Bayesian ways exp
Absolutely the best book I've seen is:
Christopher M. Bishop
"Pattern Recognition and Machine Learning"
It's totally awesome!
Strong points:
- It have both Bayesian and non Bayesian ways explained
- the explanation is clear
- figures are so helpful (and aesthetic)
- it concentrates on predictio
Don't forget that David MacKay's book can be downloaded free from his
site so you can see exactly what you are getting before you buy it.
http://www.inference.phy.cam.ac.uk/mackay/itila/book.html
- George
On 7/23/07, chrilly <[EMAIL PROTECTED]> wrote:
Thanks, I did also a search on Amazon and th
Thanks, I did also a search on Amazon and these two looked the most
interesting ones. I can order now with greater confidence.
Chrilly
You could try something like:
Information Theory, Inference & Learning Algorithms
by David MacKay
or maybe
Data Analysis: A Bayesian Tutorial
by Devinderjit
chrilly wrote:
I have a Phd in statistics. But Bayesian methods were at that time a
non-topic. I know the general principles, but I want to learn a little
bit more about the latest developments in the field. Bayes is now chic,
there are many books about it. I assume also a lot of bad ones.
Can
On 7/23/07, chrilly <[EMAIL PROTECTED]> wrote:
I have a Phd in statistics. But Bayesian methods were at that time a
non-topic. I know the general principles, but I want to learn a little bit
more about the latest developments in the field. Bayes is now chic, there
are many books about it. I assum
I have a Phd in statistics. But Bayesian methods were at that time a
non-topic. I know the general principles, but I want to learn a little bit
more about the latest developments in the field. Bayes is now chic, there
are many books about it. I assume also a lot of bad ones.
Can anyone recommend
